Intelligent allocation method and system for cross-border logistics orders

Abstract

The application is suitable for the field of cross-border logistics and intelligent monitoring technology, and provides a cross-border logistics order intelligent distribution method and system. The method obtains an encapsulated packaging body of a to-be-distributed order, candidate air logistics resources and candidate monitoring configuration; applies a pressure reduction incentive and a pressure increase incentive to the encapsulated packaging body, determines pressure response parameters of a candidate installation position; according to a predicted cargo hold pressure sequence and the pressure response parameters, obtains a predicted monitoring pressure sequence of a candidate resource combination, and inputs a working mode state model of a candidate monitor to obtain a flight mode entering time and a ground mode recovery time; according to a preset safety window, determines a feasible resource combination and a target resource combination, generates an order carrying instruction, a monitor installation instruction and a mode configuration instruction. The application can consider the pressure attenuation, delay and asymmetric response caused by the packaging body and the installation position, and improve the accuracy and reliability of order distribution and monitor mode switching.

Description

Technical Field

[0001] This invention belongs to the field of cross-border logistics and intelligent monitoring technology, and in particular relates to a method and system for intelligent allocation of cross-border logistics orders. Background Technology

[0002] With the development of cross-border e-commerce, air cold chain transportation, and high-value cargo transportation, logistics companies typically install cargo monitors inside packaging to collect pressure, temperature, humidity, vibration, and location information during transportation and upload the monitoring data wirelessly. To meet the wireless communication management requirements of air transport, cargo monitors usually determine the aircraft's takeoff and landing status based on pressure changes and switch between ground mode and flight mode according to a preset operating mode model. For example, when the monitored pressure drops to a preset pressure threshold and remains there for a preset time, the cargo monitor enters flight mode to disable or restrict wireless communication; when the monitored pressure recovers to the preset pressure threshold and remains there for a preset time, the cargo monitor reverts to ground mode to re-upload monitoring data. Existing cross-border logistics order allocation methods typically determine the corresponding carrier resource from multiple air logistics resources based on transportation timeliness, transportation cost, flight capacity, and transportation routes, and configure appropriate cargo monitors according to cargo type or monitoring requirements.

[0003] However, existing technologies, when allocating cross-border logistics orders, typically treat changes in cargo hold pressure of candidate air logistics resources directly as the actual pressure changes sensed by cargo monitors, or perform static configurations based solely on packaging type and candidate monitor model, without fully considering the impact of the sealed packaging on the pressure transmission process. In actual transportation, cargo hold pressure must pass through the packaging materials, sealing structure, pressure balancing structure, and internal space of the sealed packaging before reaching the candidate monitor's location. Differences in the filling and sealing states of the sealed packaging, as well as the candidate installation location, can all cause attenuation and delay of internal pressure relative to cargo hold pressure. Furthermore, the pressure decrease and pressure increase processes may exhibit different response characteristics. Therefore, when the same candidate monitor is installed in different candidate installation locations, or when the same candidate monitoring configuration is applied to different candidate air logistics resources, delays in entering flight mode, failure to enter flight mode, or delays in restoring ground mode may occur, thus affecting wireless communication control during air transport and the uploading of monitoring data after landing.

[0004] Furthermore, existing technologies typically determine the suitability of candidate monitors for corresponding air logistics resources based on a single pressure parameter or preset empirical parameters. They fail to incorporate the actual pressure response of the packaged goods in the depressurization and pressurization directions, the operating mode state model of the candidate monitors, and parameter fitting errors into the resource allocation process. They also fail to update the allocation results in a timely manner in response to pressure response changes caused by unpacking and repackaging. Therefore, obtaining the depressurization and pressurization response parameters of the packaged goods at different candidate installation locations, converting the predicted cargo hold pressure sequence of candidate air logistics resources into the predicted monitoring pressure sequence of the candidate monitor's location, and thus accurately predicting the flight mode entry time and ground mode recovery time, and thereby achieving coordinated allocation of candidate air logistics resources, candidate monitors, and candidate installation locations, has become a pressing technical problem to be solved in the intelligent allocation of cross-border logistics orders. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for intelligent allocation of cross-border logistics orders, which aims to solve the problem that the existing technology does not consider the attenuation, delay and asymmetric effects of the sealed packaging and candidate installation position on pressure transmission, resulting in inaccurate prediction of the switching time of the candidate monitor's working mode and low reliability of logistics resource allocation.

[0006] This invention is implemented as follows: a method for intelligent allocation of cross-border logistics orders, the method comprising: Step S100: Obtain the packaged body corresponding to the order to be assigned, multiple candidate air logistics resources and multiple candidate monitoring configurations, each of the candidate monitoring configurations including a candidate monitor and a corresponding candidate installation location; Step S200: Apply pressure reduction excitation and pressure increase excitation to the packaged body respectively, and simultaneously collect the external pressure sequence of the packaged body and the internal pressure sequence of each candidate installation position under the two excitations, and determine the pressure reduction response parameters and pressure increase response parameters corresponding to each candidate installation position; Step S300: Obtain the predicted cargo hold pressure sequence of each candidate air logistics resource and the working mode state model of each candidate monitor; for a candidate resource combination consisting of a candidate air logistics resource and a candidate monitoring configuration, obtain the predicted monitoring pressure sequence of the candidate resource combination according to the pressure change direction of the predicted cargo hold pressure sequence and the corresponding depressurization response parameters or pressurization response parameters. Step S400: Input the predicted monitoring pressure sequence into the working mode state model of the corresponding candidate monitor to obtain the flight mode entry time and ground mode recovery time of the candidate resource combination; Step S500: Based on whether the flight mode entry time and the ground mode recovery time fall within the corresponding preset safety window, determine the feasible resource combination, select the target resource combination from the feasible resource combinations, and generate the corresponding order carrying instructions, monitor installation instructions, and mode configuration instructions.

[0007] As a further limitation of the technical solution of this embodiment of the invention, step 200 includes: After the packaged goods are filled and sealed, the filling and sealing states of the packaged goods remain unchanged. The pressure reduction excitation and the pressure increase excitation are applied to the encapsulated package respectively, and the external pressure sequence collected under each excitation and the internal pressure sequence at each of the candidate installation positions are time-aligned. For each candidate installation location, the pressure attenuation coefficient, response delay, and response time constant are determined based on the time-aligned external and internal pressure sequences under pressure reduction excitation, and are used as the pressure reduction response parameters corresponding to that candidate installation location; the pressure attenuation coefficient, response delay, and response time constant are determined based on the time-aligned external and internal pressure sequences under pressure increase excitation, and are used as the pressure increase response parameters corresponding to that candidate installation location.

[0008] As a further limitation of the technical solution of this embodiment of the invention, the predicted cargo hold pressure sequence includes multiple pressure change segments arranged in chronological order; obtaining the predicted monitoring pressure sequence includes: Based on the pressure change direction of each pressure change segment, the pressure response conversion of the pressure change segment is performed using the pressure reduction response parameter or pressure increase response parameter corresponding to the candidate installation location in the candidate resource combination, and the predicted monitoring pressure value at the end of the previous pressure change segment is used as the initial predicted monitoring pressure value of the next pressure change segment.

[0009] As a further limitation of the technical solution of this embodiment of the invention, both the pressure reduction response parameter and the pressure increase response parameter include a pressure attenuation coefficient, a response delay, and a response time constant, and step 300 includes: According to the time sequence of each sampling time in each pressure change segment, the predicted cargo hold pressure sequence of the pressure change segment is time-shifted based on the corresponding response delay, and the predicted monitoring pressure value at the candidate installation location in the candidate resource combination is iteratively calculated based on the corresponding pressure attenuation coefficient and response time constant. When the pressure change direction changes between two adjacent pressure change sections, the pressure reduction response parameter or the pressure increase response parameter is switched, and the predicted monitoring pressure value before and after the switching time is kept continuous.

[0010] As a further limitation of the technical solution of the present invention, the working mode state model is associated with the firmware version of the corresponding candidate monitor. The working mode state model includes ground mode, flight confirmation mode, flight mode and ground recovery mode, as well as pressure threshold, duration and hysteresis condition for state transition between each working mode. The state transition of the working mode state model is executed according to the time sequence of the predicted monitoring pressure sequence to obtain the flight mode entry time and the ground mode recovery time.

[0011] As a further limitation of the technical solution of this embodiment of the invention, the preset safety window includes a flight mode entry safety window and a ground mode recovery safety window; The flight mode entry safety window is determined based on the expected takeoff time and maximum allowable entry delay of the candidate air logistics resources in the candidate resource combination, and the ground mode recovery safety window is determined based on the expected landing time and maximum allowable recovery delay of the corresponding candidate air logistics resources.

[0012] As a further limitation of the technical solution of this embodiment of the invention, step 500 includes: Based on the residual between the actual internal pressure sequence collected at each candidate installation location and the fitted internal pressure sequence obtained by fitting the corresponding pressure reduction response parameter or pressure increase response parameter, the parameter uncertainty range of the pressure reduction response parameter and the pressure increase response parameter is determined. Based on the uncertainty interval of the parameters, the upper bound sequence of the predicted monitoring pressure and the lower bound sequence of the predicted monitoring pressure corresponding to each candidate resource combination are obtained. The upper bound sequence of the predicted monitoring pressure and the lower bound sequence of the predicted monitoring pressure are respectively input into the working mode state model of the corresponding candidate monitor; When the flight mode entry time obtained from the upper bound sequence of the predicted monitoring pressure and the lower bound sequence of the predicted monitoring pressure both fall within the flight mode entry safety window, and the ground mode recovery time for each ground mode falls within the ground mode recovery safety window, the corresponding candidate resource combination is determined as the feasible resource combination.

[0013] As a further limitation of the technical solution of this embodiment of the invention, during the process of transporting the order to be allocated according to the target resource combination, the unpacking event of the sealed package is detected; Upon detecting the unpacking event and confirming the completion of repackaging, the repackaged product is identified as the updated product, and the buck response parameters and boost response parameters determined before repackaging are marked as invalid. Step 200 is re-executed on the updated packaging, and steps 300 to 500 are re-executed with the candidate air logistics resources corresponding to the remaining transport segments.

[0014] A cross-border logistics order intelligent allocation system, the system comprising: The order acquisition module is used to acquire the packaged body corresponding to the order to be assigned, multiple candidate air logistics resources and multiple candidate monitoring configurations, each of the candidate monitoring configurations including a candidate monitor and a corresponding candidate installation location; The pressure testing module is used to apply pressure reduction and pressure increase excitation to the packaged body respectively, and simultaneously collect the external pressure sequence of the packaged body and the internal pressure sequence of each candidate installation position under the two excitations, and determine the pressure reduction response parameters and pressure increase response parameters corresponding to each candidate installation position; The pressure conversion module is used to obtain the predicted cargo hold pressure sequence of each candidate air logistics resource and the working mode state model of each candidate monitor; for a candidate resource combination consisting of a candidate air logistics resource and a candidate monitoring configuration, the predicted monitoring pressure sequence of the candidate resource combination is obtained according to the pressure change direction of the predicted cargo hold pressure sequence and the corresponding depressurization response parameters or pressure increase response parameters. The state prediction module is used to input the predicted monitoring pressure sequence into the working mode state model of the corresponding candidate monitor to obtain the flight mode entry time and ground mode recovery time of the candidate resource combination. The resource allocation module is used to determine feasible resource combinations based on whether the flight mode entry time and ground mode recovery time fall within the corresponding preset safety windows, determine the target resource combination from the feasible resource combinations, and generate corresponding order fulfillment instructions, monitor installation instructions, and mode configuration instructions.

[0015] Compared with existing technologies, this invention obtains the pressure reduction and pressure increase response parameters of each candidate installation location under different pressure change directions by applying pressure reduction and pressure increase excitations to the packaged packaging corresponding to the order to be allocated. This overcomes the problems of existing technologies that directly use cargo hold pressure to replace the actual internal pressure of the packaging, and do not consider pressure attenuation, delay, and asymmetric response caused by packaging structure and installation location. Furthermore, this invention converts the predicted cargo hold pressure sequence of candidate air logistics resources into the predicted monitoring pressure sequence of the candidate monitor location, and combines it with the working mode state model associated with firmware version to predict the flight mode entry time and ground mode recovery time. Feasible resource combinations are screened through safety windows and parameter uncertainty intervals, realizing the joint allocation of air logistics resources, candidate monitors, and candidate installation locations, improving the accuracy of flight mode switching and the continuity of order monitoring. This invention is applicable to scenarios such as cross-border air freight, cold chain transportation, high-value cargo transportation, and intelligent logistics monitoring, and has good prospects for widespread application. Attached Figure Description

[0016] Figure 1 A flowchart of the method provided in the embodiments of the present invention; Figure 2 This is a flowchart illustrating the method for determining the voltage reduction response parameters and voltage increase response parameters corresponding to each candidate installation location in the embodiments of the present invention. Figure 3 This is a flowchart illustrating the method for obtaining the predicted monitoring pressure sequence corresponding to candidate resource combinations in the embodiments of the present invention. Figure 4 This is a flowchart illustrating the method for determining feasible resource combinations provided in embodiments of the present invention; Figure 5 This is a schematic diagram of the system provided in an embodiment of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0018] Figure 1 A flowchart of the method provided by an embodiment of the present invention is shown.

[0019] Specifically, a method for intelligent allocation of cross-border logistics orders includes the following steps: Step S100: Obtain the packaged body corresponding to the order to be assigned, multiple candidate air logistics resources, and multiple candidate monitoring configurations. Each candidate monitoring configuration includes a candidate monitor and a corresponding candidate installation location.

[0020] In this embodiment of the invention, the invention is applied to a cross-border air logistics order allocation scenario equipped with a cargo monitor. The goods corresponding to the orders to be allocated are formed into packaged goods after filling and sealing. The cargo monitor is used to collect pressure, temperature, humidity, vibration, or location information of the packaged goods during warehousing, ground transfer, air transport, and landing handover, and switches its operating mode based on the collected pressure changes. For example, after detecting aircraft takeoff, the candidate monitor switches from ground mode to flight mode to disable or restrict wireless communication; after detecting aircraft landing, the candidate monitor reverts from flight mode to ground mode to restore wireless communication and monitoring data upload.

[0021] Existing technologies typically set the operating mode model of cargo monitors directly based on the pressure change characteristics of the aircraft cargo hold, or assume that the pressure changes actually collected by the cargo monitor are the same as the pressure changes in the cargo hold. However, in actual cross-border air transport, candidate monitors are usually installed inside sealed packaging. The cargo hold pressure needs to pass through the packaging walls, sealing structure, pressure balancing structure, and internal space of the sealed packaging before reaching the candidate monitor's location. The material of the sealed packaging, the degree of sealing, the volume of free gas inside, the cargo filling state, and the distance between the candidate installation location and the pressure exchange point can all cause the pressure changes collected by the candidate monitor to be attenuated, delayed, or directionally asymmetrical relative to the cargo hold pressure.

[0022] For example, during takeoff and cargo hold depressurization, the pressure drop rate inside the sealed packaging may be slower than the cargo hold pressure drop rate, preventing the candidate monitor from entering flight mode within the specified time. Conversely, during landing and cargo hold depressurization, the pressure inside the sealed packaging may be delayed due to the sealing or pressure balancing structures, causing the candidate monitor to remain in flight mode after landing. These situations may result in wireless communication functions not being switched off in time during flight, or cargo status data not being uploaded promptly after landing.

[0023] The core research point of this invention lies in no longer directly using the predicted cargo hold pressure sequence of candidate air logistics resources as the basis for determining the operating mode of candidate monitors. Instead, it incorporates the impact of the packaged goods and candidate installation locations on pressure changes into the cross-border logistics order allocation process. Specifically, for different candidate air logistics resources, candidate monitors, and candidate installation locations that constitute different candidate resource combinations, the invention predicts the predicted monitoring pressure sequence that the candidate monitors can actually collect under each candidate resource combination. Based on the predicted monitoring pressure sequence, it determines the flight mode entry time and ground mode recovery time of the candidate monitors, thereby selecting candidate air logistics resources and candidate monitoring configurations that are compatible with the pressure response characteristics of the packaged goods.

[0024] The orders to be assigned may include order identifier, cargo type, origin of shipment, destination of shipment, timeliness requirements, packaging information, and monitoring requirements. The packaging information may include the type of packaged goods, packaging materials, internal volume, cargo fill rate, sealing method, and pressure balance structure information. The monitoring requirements may include the maximum permissible delay for a candidate monitor to enter flight mode after takeoff and the maximum permissible delay for it to return to ground mode after landing.

[0025] The multiple candidate air logistics resources may include different flights, different air transport routes, different aircraft, or different air carriers capable of carrying the orders to be allocated. Different candidate air logistics resources may correspond to different expected departure times, expected landing times, aircraft types, cargo hold pressurization methods, flight altitudes, and cargo hold pressure change processes, and thus correspond to different predicted cargo hold pressure sequences.

[0026] The multiple candidate monitoring configurations represent different combinations between candidate monitors and candidate installation locations. The candidate monitor can be a cargo monitor with pressure acquisition capabilities and the ability to switch operating modes based on pressure changes. Different candidate monitors may have different pressure sampling accuracies, pressure sampling frequencies, operating mode state models, or firmware versions. The candidate installation location refers to a position within the sealed packaging where a candidate monitor can be installed, such as near the inner wall of the packaging, in the middle of the packaging, near the pressure balancing structure, away from the pressure balancing structure, or a reserved space between goods. One candidate monitor installed at one candidate installation location constitutes one candidate monitoring configuration.

[0027] In some embodiments, before the sealed package is fully sealed, pressure acquisition units can be pre-positioned at each candidate installation location. After pre-positioning, the package is sealed to form the sealed package. Each pressure acquisition unit can use the same sampling clock, or receive the same synchronization trigger signal when applying a buck or boost excitation, thereby acquiring internal pressure data at each candidate installation location according to the same sampling period during the same pressure excitation process. Simultaneously, an external pressure acquisition unit is set outside the sealed package to acquire external pressure data during the same pressure excitation process. The internal pressure data acquired by each pressure acquisition unit is arranged according to the sampling time to form a corresponding internal pressure sequence, and the external pressure data acquired by the external pressure acquisition unit is arranged according to the sampling time to form an external pressure sequence.

[0028] In other embodiments, pressure guides can be pre-installed at each candidate installation location, and each pressure guide is connected to a multi-channel pressure acquisition device outside the sealed package via a pressure guide tube. The multi-channel pressure acquisition device simultaneously acquires the internal pressure at each candidate installation location through different acquisition channels, and acquires the external pressure of the sealed package through another acquisition channel. This method reduces the number of electronic acquisition devices installed inside the sealed package.

[0029] Synchronous acquisition, as referred to in this embodiment of the invention, means acquiring the external pressure of the packaged body and the internal pressure at each candidate installation location according to a unified time reference during the same depressurization or boost excitation process. This allows each internal pressure sample value to establish a time correspondence with the corresponding external pressure sample value. Synchronous acquisition does not limit the analog-to-digital conversion of each pressure acquisition unit to be completed at exactly the same physical moment; it is sufficient that the sampled data can be time-aligned through a unified clock, synchronous triggering, or timestamp correction.

[0030] Furthermore, the method also includes the following steps: Step S200: Apply pressure reduction excitation and pressure increase excitation to the packaged body respectively, and simultaneously collect the external pressure sequence of the packaged body and the internal pressure sequence of each candidate installation position under the two excitations, and determine the pressure reduction response parameters and pressure increase response parameters corresponding to each candidate installation position.

[0031] Specifically, Figure 2 A flowchart is shown to determine the buck response parameters and boost response parameters corresponding to each candidate installation location.

[0032] Specifically, step S200 includes the following steps: Step S201: After the packaged body is filled and sealed, the filling and sealing states of the packaged body remain unchanged. Specifically, during pressure testing, the packaged body maintains the same quantity, distribution, cushioning material, sealing structure, and closure state as during actual transportation. This ensures that the measured pressure response reflects the actual pressure transmission characteristics of the packaged body corresponding to the current order to be assigned, avoiding distortion of test results due to reopening, changing the filling state, or changing the sealing state.

[0033] Step S202: Apply the pressure reduction excitation and the pressure increase excitation to the encapsulated package respectively, and time-align the external pressure sequence collected under each excitation and the internal pressure sequence at each of the candidate installation positions.

[0034] In one embodiment, the sealed package is placed inside a sealed micro-pressure testing chamber, and the pressure inside the chamber is changed by a bidirectional pressure regulating device. The bidirectional pressure regulating device may include a vacuum pump, a miniature compressor, an inlet valve, an exhaust valve, and a pressure controller, wherein the vacuum pump or exhaust valve is used to generate a pressure reduction excitation, and the miniature compressor or inlet valve is used to generate a pressure increase excitation. An external pressure acquisition unit is installed inside the micro-pressure testing chamber, and an internal pressure acquisition unit is installed at each of the candidate installation locations.

[0035] The pressure reduction excitation can be to decrease the pressure in the micro-pressure test chamber from the initial pressure to a preset pressure amplitude and maintain it for a preset duration; the pressure increase excitation can be to increase the pressure in the micro-pressure test chamber from the reduced pressure to the initial pressure or another preset pressure. As an example, the pressure amplitude can be from 2 kPa to 20 kPa, the pressure change time can be from 5 seconds to 60 seconds, and the pressure holding time can be from 30 seconds to 300 seconds. The specific pressure amplitude and duration can be determined based on the packaging material, sealing strength, and expected cargo hold pressure change range of the sealed package, to the extent that it does not damage the sealed package or its contents.

[0036] During micro-pressure testing, it is preferable to maintain a stable ambient temperature, reduce vibration and airflow disturbances, and activate the external pressure acquisition unit and each internal pressure acquisition unit with a unified trigger signal. For pressure acquisition units using independent sampling clocks, resampling or interpolation can be performed based on the sampling timestamp to ensure that the external pressure sequence and each internal pressure sequence have the same sampling time, thereby achieving time alignment.

[0037] Step S203: For each candidate installation location, determine the pressure attenuation coefficient, response delay, and response time constant based on the time-aligned external pressure sequence and internal pressure sequence under pressure reduction excitation, and use them as the pressure reduction response parameters corresponding to the candidate installation location; determine the pressure attenuation coefficient, response delay, and response time constant based on the time-aligned external pressure sequence and internal pressure sequence under pressure increase excitation, and use them as the pressure increase response parameters corresponding to the candidate installation location.

[0038] Specifically, using the change in external pressure relative to the start of excitation as the external pressure deviation, and the change in internal pressure at the candidate installation location relative to the start of excitation as the internal pressure deviation, the following pressure response model can be established: in, Indicates external pressure deviation. Indicates internal pressure deviation. Indicates the pressure attenuation coefficient. This indicates a response delay. This represents the response time constant.

[0039] The pressure attenuation coefficient is used to characterize the degree of amplitude attenuation after an external pressure change is transmitted to the candidate installation location. The pressure attenuation coefficient can be determined based on the ratio of the internal pressure change to the external pressure change at the end of the preset holding time, that is: The response delay can be determined based on the difference between the time when the external pressure deviation first reaches the preset change threshold and the time when the internal pressure deviation first reaches the corresponding change threshold. The response time constant can be determined based on the time required for the internal pressure deviation to reach 63.2% of its stable change after the response delay ends.

[0040] In another implementation, the pressure attenuation coefficient, response delay, and response time constant can be determined by minimizing the error between the measured internal pressure sequence and the fitted internal pressure sequence output by the pressure response model. The corresponding objective function can be expressed as: in, This indicates the total number of sampling points contained in the internal pressure sequence. Indicates the first Each sampling time, Indicates the sampling time The corresponding measured internal pressure, This represents the fitted internal pressure calculated using a pressure response model. This represents the error between the measured internal pressure sequence and the fitted internal pressure sequence.

[0041] The parameters of the pressure reduction excitation and the pressure increase excitation are calculated separately so that the same candidate installation location has independent pressure reduction response parameters and pressure increase response parameters, thereby characterizing the asymmetric pressure response of the packaged body in the pressure reduction direction and the pressure increase direction.

[0042] For example, if the internal pressure at a candidate installation location decreases by 5.6 kPa after an 8 kPa drop in external pressure, then the pressure attenuation coefficient in the pressure reduction direction can be determined to be 0.70. If the internal pressure begins to change relative to the external pressure with a 4-second delay, and reaches a stable change of 63.2% after 18 seconds, then the response delay in the pressure reduction direction is 4 seconds, and the response time constant is 18 seconds. If, after applying a pressure boosting excitation to the same candidate installation location, the determined pressure attenuation coefficient is 0.85, the response delay is 7 seconds, and the response time constant is 26 seconds, then this indicates that the candidate installation location has different pressure transmission characteristics in the pressure boosting and pressure reduction directions.

[0043] Furthermore, the method also includes the following steps: Step S300: Obtain the predicted cargo hold pressure sequence of each candidate air logistics resource and the working mode state model of each candidate monitor; for a candidate resource combination consisting of a candidate air logistics resource and a candidate monitoring configuration, obtain the predicted monitoring pressure sequence of the candidate resource combination according to the pressure change direction of the predicted cargo hold pressure sequence and the corresponding depressurization response parameters or pressurization response parameters.

[0044] Specifically, Figure 3 A flowchart is shown to obtain the predicted monitoring stress sequence corresponding to the candidate resource combination.

[0045] In this embodiment of the invention, the predicted cargo hold pressure sequence is used to characterize the change in cargo hold pressure of candidate air logistics resources over time during the expected transportation period. It can be obtained based on one or more of the following: corresponding flight schedule, aircraft type, expected departure time, expected landing time, cargo hold pressurization parameters, and historical cargo hold pressure data. The predicted cargo hold pressure sequence includes multiple pressure change segments arranged in chronological order. Each pressure change segment is divided into a pressure decrease segment, a pressure increase segment, or a pressure stability segment based on the direction of pressure change.

[0046] Step S301: According to the time sequence of each sampling time in each pressure change segment, the predicted cargo hold pressure sequence of the pressure change segment is time-shifted based on the corresponding response delay, and the predicted monitoring pressure value at the candidate installation location in the candidate resource combination is iteratively calculated based on the corresponding pressure attenuation coefficient and response time constant.

[0047] Specifically, for the pressure drop section, the pressure reduction response parameters corresponding to the candidate installation location are used; for the pressure rise section, the pressure rise response parameters corresponding to the candidate installation location are used. The predicted monitoring pressure value can be calculated iteratively according to the following formula: in, Indicates the current sampling time. Indicates the starting time of the current pressure change segment. Indicates the sampling time interval. Indicates the pressure attenuation coefficient. This indicates a response delay. Represents the response time constant. This indicates the number of sampling points corresponding to the response delay. This indicates taking the nearest integer. This indicates the time shift of the predicted cargo hold pressure sequence. The change in cargo hold pressure obtained after sampling points This represents the predicted change in monitoring pressure at the current sampling time. This represents the predicted monitoring pressure value at the current sampling time. When When the value is not an integer, the response latency can be used as a reference. At the corresponding time, the change in cargo hold pressure between two adjacent sampling times is linearly interpolated.

[0048] Step S302: When the pressure change direction of two adjacent pressure change sections changes, switch the pressure reduction response parameter or the pressure increase response parameter used, and use the predicted monitoring pressure value at the end of the previous pressure change section as the initial predicted monitoring pressure value of the next pressure change section, so as to keep the predicted monitoring pressure value before and after the switching time continuous.

[0049] For example, when it is predicted that the cargo hold pressure will first decrease and then increase, the pressure decrease section is calculated using the pressure reduction response parameter; when the pressure change direction changes to increase, the pressure increase response parameter is switched to use, and the predicted monitoring pressure value at the end of the previous pressure decrease section is used as the initial predicted monitoring pressure value for the pressure increase section.

[0050] The operating mode state model can be obtained from the monitor configuration database based on the candidate monitor model and firmware version, and adopts a finite state machine model. The input of the operating mode state model includes the predicted monitoring pressure sequence, and may also include the pressure change rate and the duration of the pressure condition; the operating mode state model includes ground mode, flight confirmation mode, flight mode, and ground recovery mode.

[0051] When the predicted monitoring pressure meets the flight confirmation conditions, the operating mode state model transitions from ground mode to flight confirmation mode; when the flight confirmation conditions persist for a preset time, it transitions to flight mode; when the candidate monitor is in flight mode and the predicted monitoring pressure meets the recovery conditions, it transitions to ground recovery mode; when the recovery conditions persist for a preset time, it transitions to ground mode. Different entry and recovery thresholds can also be set between each state to create hysteresis conditions and prevent the candidate monitor from repeatedly switching operating modes near the pressure threshold.

[0052] Furthermore, the method also includes the following steps: Step S400: Input the predicted monitoring pressure sequence into the working mode state model of the corresponding candidate monitor to obtain the flight mode entry time and ground mode recovery time of the candidate resource combination.

[0053] In this embodiment of the invention, the operating mode state model is associated with the model and firmware version of the corresponding candidate monitor, and is used to reproduce the operating mode switching logic actually executed by the candidate monitor. The input of the operating mode state model includes predicted monitoring pressure values ​​arranged in chronological order, and may also include the pressure change rate and pressure condition duration determined based on adjacent predicted monitoring pressure values.

[0054] The operational mode state model includes ground mode, flight confirmation mode, flight mode, and ground recovery mode, and records the pressure threshold, duration, and hysteresis conditions used for state transitions between each operational mode. Predicted monitoring pressure values ​​are input sequentially according to the time order of the predicted monitoring pressure sequence, and the operational mode is updated based on the current operational mode and the corresponding state transition conditions.

[0055] When the predicted monitoring pressure value or pressure change rate in ground mode reaches the flight confirmation condition, the operating mode state model transitions to flight confirmation mode. When the flight confirmation condition is continuously met for a preset duration, the system transitions to flight mode, and the moment of transition to flight mode is defined as the flight mode entry time. If the flight confirmation condition fails before reaching the preset duration, the system returns to ground mode.

[0056] When the predicted monitoring pressure value in flight mode reaches the ground recovery condition, the operating mode state model transitions to ground recovery mode. When the ground recovery condition continuously meets the preset recovery time, it transitions to ground mode, and the time of transition to ground mode is determined as the ground mode recovery time. If the ground recovery condition fails before reaching the preset recovery time, it returns to flight mode.

[0057] The hysteresis condition can be achieved by setting different flight mode entry pressure thresholds and ground mode recovery pressure thresholds to avoid frequent switching of working modes when the predicted and monitored pressure values ​​fluctuate around a single pressure threshold.

[0058] For example, the operating mode state model corresponding to a candidate monitor specifies that it enters flight mode when the predicted monitoring pressure value is below 85 kPa for 30 seconds, and returns to ground mode when the predicted monitoring pressure value is above 92 kPa for 60 seconds. If the predicted monitoring pressure sequence of the corresponding candidate resource combination is continuously below 85 kPa starting 45 seconds after the expected takeoff, the flight mode entry time is 75 seconds after the expected takeoff; if it is continuously above 92 kPa starting 20 seconds after the expected landing, the ground mode recovery time is 80 seconds after the expected landing.

[0059] Furthermore, the method also includes the following steps: Step S500: Based on whether the flight mode entry time and the ground mode recovery time fall within the corresponding preset safety window, determine the feasible resource combination, determine the target resource combination from the feasible resource combinations, and generate the corresponding order carrying instructions, monitor installation instructions, and mode configuration instructions.

[0060] In this embodiment of the invention, the preset safety window includes a flight mode entry safety window and a ground mode recovery safety window. The flight mode entry safety window can be represented as: The ground mode recovery safety window can be represented as: in, This indicates the expected departure time of the candidate air logistics resources in the candidate resource combination. Indicates the maximum allowed entry delay. Indicates the expected landing time. This indicates the maximum permissible recovery delay. The maximum permissible entry delay and maximum permissible recovery delay can be determined based on aviation transport safety requirements and the monitoring timeliness requirements of pending orders.

[0061] Step S501: Based on the residual between the actual internal pressure sequence collected at each of the candidate installation locations and the fitted internal pressure sequence obtained by fitting the corresponding pressure reduction response parameter or pressure increase response parameter, determine the parameter uncertainty range of the pressure reduction response parameter and the pressure increase response parameter.

[0062] Specifically, the residual can be expressed as: in, Indicates the first The actual internal pressure collected at each sampling time This represents the corresponding internal pressure of the fitted data. The root mean square of the residuals is calculated based on the residuals at each sampling time. in, This represents the root mean square of the residuals. Indicates the first The residual at each sampling time, This represents the total number of sampling points. Centering on the fitted pressure attenuation coefficient, response delay, and response time constant, within a preset parameter search range, the pressure attenuation coefficient k, response delay d, and response time constant τ are jointly changed. For each parameter combination, the fitted internal pressure sequence and the root mean square residual Eᵣ(k, d, τ) are recalculated. A feasible parameter set is constructed based on the root mean square residual. in, Represents the set of feasible parameters. This represents the root mean square of the minimum residual within the search range of the preset parameters. This represents a preset tolerance. The feasible parameter sets are respectively... Project to , and For the corresponding parameter dimensions, the parameter uncertainty intervals for the pressure attenuation coefficient, response delay, and response time constant are obtained. Feasible parameter sets are constructed for both the pressure reduction excitation and the pressure increase excitation to obtain the parameter uncertainty intervals for the respective pressure reduction response parameters and the pressure increase response parameters.

[0063] Step S502: Based on the parameter uncertainty interval, obtain the upper bound sequence and lower bound sequence of predicted monitoring pressure corresponding to each candidate resource combination. Specifically, select multiple parameter combinations from the parameter uncertainty interval, and perform pressure response transformation on the predicted cargo hold pressure sequence respectively; take the maximum predicted monitoring pressure value obtained at the same sampling time as the upper bound value of predicted monitoring pressure, and take the minimum predicted monitoring pressure value as the lower bound value of predicted monitoring pressure, thereby forming the upper bound sequence and the lower bound sequence of predicted monitoring pressure.

[0064] In this embodiment of the invention, for any set of parameters selected from the parameter uncertainty interval, the corresponding predicted monitoring pressure sequence is located between the upper bound sequence and the lower bound sequence of the predicted monitoring pressure, that is: in, Indicates the sampling time The predicted monitoring pressure lower limit value, Indicates the sampling time The upper limit of the predicted monitoring pressure, Indicates the use of parameter combinations The obtained predicted monitoring pressure values.

[0065] The operating mode state model performs state transitions based on pressure thresholds, durations, and hysteresis conditions. During flight mode entry, lower predicted monitoring pressures result in earlier fulfillment of flight mode entry conditions; conversely, higher predicted monitoring pressures result in earlier fulfillment of ground mode recovery conditions. Therefore, the state transition times of the operating mode state model are monotonic relative to the predicted monitoring pressure sequence, and the upper and lower bound sequences of the predicted monitoring pressure can characterize the boundary conditions of state transitions within the range of parameter uncertainty.

[0066] Step S503: Input the upper bound sequence and the lower bound sequence of predicted monitoring pressure into the working mode state model of the corresponding candidate monitor, respectively, to obtain the flight mode entry time and ground mode recovery time corresponding to the upper bound sequence and the lower bound sequence of predicted monitoring pressure, respectively. For any predicted monitoring pressure sequence within the parameter uncertainty range, its flight mode entry time is no earlier than the flight mode entry time corresponding to the lower bound sequence of predicted monitoring pressure, and no later than the flight mode entry time corresponding to the upper bound sequence of predicted monitoring pressure; its ground mode recovery time is no earlier than the ground mode recovery time corresponding to the upper bound sequence of predicted monitoring pressure, and no later than the ground mode recovery time corresponding to the lower bound sequence of predicted monitoring pressure. Therefore, by judging the state transition times corresponding to the two boundary sequences, robust judgment can be made on candidate resource combinations within the parameter uncertainty range.

[0067] Step S504: When the entry times of each flight mode obtained from the upper bound sequence of the predicted monitoring pressure and the lower bound sequence of the predicted monitoring pressure all fall within the safe window for entering the flight mode, and the recovery times of each ground mode all fall within the safe window for recovering the ground mode, the corresponding candidate resource combination is determined as the feasible resource combination. This determination method can avoid allocation based solely on a single fitted parameter, improving the reliability of allocation when there are errors in the pressure response parameters.

[0068] When determining the target resource combination from the feasible resource combinations, a preset allocation mechanism can be used, considering in sequence the following factors: transportation timeliness, available capacity of candidate air logistics resources, availability status of candidate monitors, transportation costs, and operational mode recovery delay. The candidate resource combination with the highest priority among the feasible resource combinations that meet the constraints is selected as the target resource combination. The order fulfillment instruction indicates the candidate air logistics resources to be used, the monitor installation instruction indicates the candidate monitors and their candidate installation locations, and the mode configuration instruction writes the corresponding operational mode parameters to the candidate monitors.

[0069] For example, candidate resource combination A corresponds to a flight mode entry time range of 40 to 70 seconds after expected takeoff, and a ground mode recovery time range of 50 to 90 seconds after expected landing. When the maximum permissible entry delay is 90 seconds and the maximum permissible recovery delay is 120 seconds, candidate resource combination A is a feasible resource combination. If the ground mode recovery time of candidate resource combination B is later than 120 seconds after expected landing, then candidate resource combination B is excluded.

[0070] During the transportation of the orders to be allocated according to the target resource combination, the unpacking event of the sealed package can be detected by electronic seals, lid opening sensors, light sensors, pressure surge data, or customs inspection records. When the lid is detected to be open, and subsequently the lid is detected to remain closed or the electronic seal is reactivated, the repackaging is confirmed to be complete, and the repackaged package is identified as the updated package.

[0071] In one embodiment, a micro-pressure testing station is provided at the cross-border transshipment node, customs-supervised warehouse, or destination operation node. The micro-pressure testing station includes a sealed micro-pressure testing chamber, a bidirectional pressure regulating device, an external pressure acquisition unit, and an internal pressure acquisition unit. After repackaging, while maintaining the filling and sealing states of the updated packaging, the updated packaging is placed in the sealed micro-pressure testing chamber. The bidirectional pressure regulating device applies pressure reduction and increase excitation, and the external and internal pressure acquisition units simultaneously acquire pressure data to re-execute step S200.

[0072] Since unpacking and resealing may alter the sealing state, internal space, or candidate monitor position of the packaging, the depressurization and pressurization response parameters determined before resealing are marked as invalid. Step S200 is re-executed on the updated packaging using the micro-pressure testing station, and steps S300 to S500 are re-executed with candidate air logistics resources corresponding to the remaining transport segment to redetermine the target resource combination suitable for the remaining transport segment.

[0073] Furthermore, Figure 5 A schematic diagram of the system provided in an embodiment of the present invention is shown.

[0074] In another preferred embodiment of the present invention, a cross-border logistics order intelligent allocation system includes: The order acquisition module 100 is used to acquire the packaged body corresponding to the order to be assigned, multiple candidate air logistics resources and multiple candidate monitoring configurations. Each candidate monitoring configuration includes a candidate monitor and a corresponding candidate installation location.

[0075] Furthermore, the intelligent allocation system for cross-border logistics orders also includes: The pressure testing module 200 is used to apply pressure reduction excitation and pressure increase excitation to the packaged body respectively, and simultaneously collect the external pressure sequence of the packaged body and the internal pressure sequence of each candidate installation position under the two excitations, and determine the pressure reduction response parameters and pressure increase response parameters corresponding to each candidate installation position.

[0076] In one embodiment, the pressure testing module 200 includes a test controller, or is communicatively connected to a bidirectional pressure regulating device, an external pressure acquisition unit, and multiple internal pressure acquisition units. The test controller controls the vacuum pump, micro compressor, inlet valve, and exhaust valve of the bidirectional pressure regulating device to apply pressure reduction and pressure increase excitations to the packaged object. The external pressure acquisition unit acquires the external pressure sequence of the packaged object, and each of the internal pressure acquisition units acquires the internal pressure sequence at a corresponding candidate installation location. The test controller also performs time alignment on the external pressure sequence and the internal pressure sequence, and determines the pressure reduction response parameter and the pressure increase response parameter.

[0077] Furthermore, the intelligent allocation system for cross-border logistics orders also includes: The pressure conversion module 300 is used to acquire the predicted cargo hold pressure sequence of each candidate air logistics resource and the working mode state model of each candidate monitor; for a candidate resource combination consisting of a candidate air logistics resource and a candidate monitoring configuration, the predicted monitoring pressure sequence of the candidate resource combination is obtained according to the pressure change direction of the predicted cargo hold pressure sequence and the corresponding depressurization response parameters or pressurization response parameters.

[0078] Furthermore, the intelligent allocation system for cross-border logistics orders also includes: The state prediction module 400 is used to input the predicted monitoring pressure sequence into the working mode state model of the corresponding candidate monitor to obtain the flight mode entry time and ground mode recovery time of the candidate resource combination.

[0079] Furthermore, the intelligent allocation system for cross-border logistics orders also includes: The resource allocation module 500 is used to determine feasible resource combinations based on whether the flight mode entry time and the ground mode recovery time fall within the corresponding preset safety windows, determine the target resource combination from the feasible resource combinations, and generate corresponding order carrying instructions, monitor installation instructions, and mode configuration instructions.

[0080] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0081] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0082] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0083] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0084] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent allocation of cross-border logistics orders, characterized in that, The method includes: Step S100: Obtain the packaged body corresponding to the order to be assigned, multiple candidate air logistics resources and multiple candidate monitoring configurations, each of the candidate monitoring configurations including a candidate monitor and a corresponding candidate installation location; Step S200: Apply pressure reduction excitation and pressure increase excitation to the packaged body respectively, and simultaneously collect the external pressure sequence of the packaged body and the internal pressure sequence of each candidate installation position under the two excitations, and determine the pressure reduction response parameters and pressure increase response parameters corresponding to each candidate installation position; Step S300: Obtain the predicted cargo hold pressure sequence of each candidate air logistics resource and the working mode state model of each candidate monitor; for a candidate resource combination consisting of a candidate air logistics resource and a candidate monitoring configuration, obtain the predicted monitoring pressure sequence of the candidate resource combination according to the pressure change direction of the predicted cargo hold pressure sequence and the corresponding depressurization response parameters or pressurization response parameters. Step S400: Input the predicted monitoring pressure sequence into the working mode state model of the corresponding candidate monitor to obtain the flight mode entry time and ground mode recovery time of the candidate resource combination; Step S500: Based on whether the flight mode entry time and the ground mode recovery time fall within the corresponding preset safety window, determine the feasible resource combination, select the target resource combination from the feasible resource combinations, and generate the corresponding order carrying instructions, monitor installation instructions, and mode configuration instructions.

2. The intelligent allocation method for cross-border logistics orders according to claim 1, characterized in that, Step 200 includes: After the packaged goods are filled and sealed, the filling and sealing states of the packaged goods remain unchanged. The pressure reduction excitation and the pressure increase excitation are applied to the encapsulated package respectively, and the external pressure sequence collected under each excitation and the internal pressure sequence at each of the candidate installation positions are time-aligned. For each candidate installation location, the pressure attenuation coefficient, response delay, and response time constant are determined based on the time-aligned external and internal pressure sequences under pressure reduction excitation, and are used as the pressure reduction response parameters corresponding to that candidate installation location; the pressure attenuation coefficient, response delay, and response time constant are determined based on the time-aligned external and internal pressure sequences under pressure increase excitation, and are used as the pressure increase response parameters corresponding to that candidate installation location.

3. The intelligent allocation method for cross-border logistics orders according to claim 1, characterized in that, The predicted cargo hold pressure sequence includes multiple pressure change segments arranged in chronological order; obtaining the predicted monitoring pressure sequence includes: Based on the pressure change direction of each pressure change segment, the pressure response conversion of the pressure change segment is performed using the pressure reduction response parameter or pressure increase response parameter corresponding to the candidate installation location in the candidate resource combination, and the predicted monitoring pressure value at the end of the previous pressure change segment is used as the initial predicted monitoring pressure value of the next pressure change segment.

4. The intelligent allocation method for cross-border logistics orders according to claim 3, characterized in that, Both the pressure reduction response parameters and the pressure increase response parameters include a pressure attenuation coefficient, a response delay, and a response time constant. Step 300 includes: According to the time sequence of each sampling time in each pressure change segment, the predicted cargo hold pressure sequence of the pressure change segment is time-shifted based on the corresponding response delay, and the predicted monitoring pressure value at the candidate installation location in the candidate resource combination is iteratively calculated based on the corresponding pressure attenuation coefficient and response time constant. When the pressure change direction changes between two adjacent pressure change sections, the pressure reduction response parameter or the pressure increase response parameter is switched, and the predicted monitoring pressure value before and after the switching time is kept continuous.

5. The intelligent allocation method for cross-border logistics orders according to claim 1, characterized in that, The working mode state model is associated with the firmware version of the corresponding candidate monitor. The working mode state model includes ground mode, flight confirmation mode, flight mode and ground recovery mode, as well as pressure threshold, duration and hysteresis conditions for state transition between each working mode. The state transition of the working mode state model is executed according to the time sequence of the predicted monitoring pressure sequence to obtain the flight mode entry time and the ground mode recovery time.

6. The intelligent allocation method for cross-border logistics orders according to claim 1, characterized in that, The preset safety windows include a flight mode entry safety window and a ground mode recovery safety window; The flight mode entry safety window is determined based on the expected takeoff time and maximum allowable entry delay of the candidate air logistics resources in the candidate resource combination, and the ground mode recovery safety window is determined based on the expected landing time and maximum allowable recovery delay of the corresponding candidate air logistics resources.

7. The intelligent allocation method for cross-border logistics orders according to claim 6, characterized in that, Step 500 includes: Based on the residual between the actual internal pressure sequence collected at each candidate installation location and the fitted internal pressure sequence obtained by fitting the corresponding pressure reduction response parameter or pressure increase response parameter, the parameter uncertainty range of the pressure reduction response parameter and the pressure increase response parameter is determined. Based on the uncertainty interval of the parameters, the upper bound sequence of the predicted monitoring pressure and the lower bound sequence of the predicted monitoring pressure corresponding to each candidate resource combination are obtained. The upper bound sequence of the predicted monitoring pressure and the lower bound sequence of the predicted monitoring pressure are respectively input into the working mode state model of the corresponding candidate monitor; When the flight mode entry time obtained from the upper bound sequence of the predicted monitoring pressure and the lower bound sequence of the predicted monitoring pressure both fall within the flight mode entry safety window, and the ground mode recovery time for each ground mode falls within the ground mode recovery safety window, the corresponding candidate resource combination is determined as the feasible resource combination.

8. The intelligent allocation method for cross-border logistics orders according to claim 1, characterized in that, During the transportation of the order to be allocated according to the target resource combination, the unpacking event of the sealed package is detected; Upon detecting the unpacking event and confirming the completion of repackaging, the repackaged product is identified as the updated product, and the buck response parameters and boost response parameters determined before repackaging are marked as invalid. Step 200 is re-executed on the updated packaging, and steps 300 to 500 are re-executed with the candidate air logistics resources corresponding to the remaining transport segments.

9. A cross-border logistics order intelligent allocation system, characterized in that, The system includes: The order acquisition module is used to acquire the packaged body corresponding to the order to be assigned, multiple candidate air logistics resources and multiple candidate monitoring configurations, each of the candidate monitoring configurations including a candidate monitor and a corresponding candidate installation location; The pressure testing module is used to apply pressure reduction and pressure increase excitation to the packaged body respectively, and simultaneously collect the external pressure sequence of the packaged body and the internal pressure sequence of each candidate installation position under the two excitations, and determine the pressure reduction response parameters and pressure increase response parameters corresponding to each candidate installation position; The pressure conversion module is used to obtain the predicted cargo hold pressure sequence of each candidate air logistics resource and the working mode state model of each candidate monitor; for a candidate resource combination consisting of a candidate air logistics resource and a candidate monitoring configuration, the predicted monitoring pressure sequence of the candidate resource combination is obtained according to the pressure change direction of the predicted cargo hold pressure sequence and the corresponding depressurization response parameters or pressure increase response parameters. The state prediction module is used to input the predicted monitoring pressure sequence into the working mode state model of the corresponding candidate monitor to obtain the flight mode entry time and ground mode recovery time of the candidate resource combination. The resource allocation module is used to determine feasible resource combinations based on whether the flight mode entry time and ground mode recovery time fall within the corresponding preset safety windows, determine the target resource combination from the feasible resource combinations, and generate corresponding order fulfillment instructions, monitor installation instructions, and mode configuration instructions.

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